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Hiring: AI/ML Engineer – Computer Vision (Image & Video)
Location: Chennai (Work From Office)
Experience: 2–4 Years
Notice Period: Immediate to 30 Days
Employment Type: Full-Time
We're looking for a hands-on AI/ML Engineer with strong expertise in Computer Vision and Deep Learning. This role is ideal for someone who has built and deployed real-world image/video processing solutions and can take projects from data collection to production deployment.
What You'll Work On:
• Build and train Computer Vision models for image and video analytics
• Develop solutions for Object Detection, Classification, Segmentation, and Tracking
• Work with large-scale datasets, annotation pipelines, and model optimization
• Deploy and monitor models in production environments
• Collaborate with product and engineering teams to solve real-world business problems
Must-Have Skills:
Python
OpenCV
PyTorch or TensorFlow
YOLO / Object Detection
CNNs & Deep Learning
Image Processing & Computer Vision
Model Training & Fine-Tuning
Real-world Project Experience
Good to Have:
⭐ Video Analytics
⭐ Multi-Object Tracking (SORT, DeepSORT, ByteTrack)
⭐ Segmentation Models (SAM, Mask R-CNN)
⭐ ONNX / TensorRT
⭐ FastAPI / Docker
⭐ Edge AI Deployment
We Want to Talk To You If You've Worked On:
• CCTV Analytics
• Surveillance Systems
• Drone Vision
• Manufacturing Inspection
• Retail Analytics
• Autonomous Systems
• Industrial Computer Vision
• Medical Imaging
️ Note:
This role is focused on Computer Vision. Candidates whose experience is primarily in LLMs, RAG, Chatbots, Prompt Engineering, or Generative AI without significant Computer Vision exposure may not be the right fit.
Job ID: 148770017
Skills:
test automation, Tensorflow, Devops, Nltk, Pytorch, Docker, Python Programming, Keras, Kubernetes, Strong statistical quantitative skills, CI CD, Cloud experience – AWS Azure GCP, End-to-end data pipelines, spaCy, AI ML Supervised Unsupervised GenAI LLMs NLP, API design for real-time scalable applications, Linux systems, Database experience – Postgres Redshift MSSQL, Data integration across logs APIs files and databases
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Deep Learning, Python Programming, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
Skills:
Natural Language Processing, AI ML, Tensorflow, Pytorch, Python, Generative AI, Langchain, Transformers, LLMs, scikit-learn, Hugging Face, anomaly detection, Pinecone, prompt engineering, spaCy, Word2Vec, FAISS, TF-IDF, BERT, ChromaDB, Langraph
Skills:
containerization , Tensorflow, Devops, MLops, AWS, Pytorch, Python, Kubernetes, Azure, Gcp, DVC, Feast, Vertex AI, Airflow, Great Expectations, MLflow, Kubeflow, whylogs, scikit-learn, Evidently, Infrastructure as Code, SageMaker
Skills:
Hadoop, Natural Language Processing, Apache Spark, Neural Networks, Clustering, Random Forest, Python Programming, Deep Learning, Jenkins, Decision Trees, Machine Learning Algorithms, Airflow, Data Munging Techniques, ML Flow, reinforcement learning, Support Vector Machines, Boosting Algorithm, Kubeflow, CI CD Pipeline, Large Language Models, Bayesian Networks
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